Decision Workspace
elkan vs ferrolearn-cluster vs rune-kmeans
Side-by-side comparison of Rust crates
49
elkan
experimentalv1.1.0
Triangle-inequality accelerated (Elkan 2003) k-means, generic over point type and distance
55
ferrolearn-cluster
experimentalv0.5.0
Clustering algorithms for the ferrolearn ML framework
41
rune-kmeans
experimentalv0.1.0
K-Means++ clustering — partition points into k clusters with smart initialisation
Core Metrics
| elkan | ferrolearn-cluster | rune-kmeans | |
|---|---|---|---|
| Health Score | 49 | 55 | 41 |
| Total Downloads | 13 | 318 | 17 |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 1 | 16 | 0 |
| Releases | 1 | 8 | 1 |
| Last Updated | 1d ago | 34d ago | 43d ago |
| Age | 1d | 4m | 1m |
Health Breakdown
elkan
Maintenance
13
Quality
16
Community
7
Popularity
1
Documentation
12
ferrolearn-cluster
Maintenance
18
Quality
11
Community
11
Popularity
3
Documentation
12
rune-kmeans
Maintenance
10
Quality
14
Community
6
Popularity
1
Documentation
10
Technical Details
| elkan | ferrolearn-cluster | rune-kmeans | |
|---|---|---|---|
| Version | 1.1.0 | 0.5.0 | 0.1.0 |
| Stable (≥1.0) | ✓ Yes | ✗ No | ✗ No |
| License | MIT | MIT OR Apache-2.0 | MIT |
| Dependencies | 1 | 9 | 1 |
| Crate Size | 8KB | 295KB | 10KB |
| Features | 0 | 0 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2024 | 2024 |
| MSRV | 1.90 | 1.88 | — |
| Owners | 1 | 2 | 1 |
Links
Quick Verdict
- •ferrolearn-cluster leads with a health score of 55/100, but none of the options score above 80.
- •ferrolearn-cluster, rune-kmeans are pre-1.0 — API may change.